First Triangulation Results in Search for UAP by the Galileo Project Observatories

Galileo Project’s Daleks on top of Sphere in Las Vegas. (Image credit: Alex Delacroix, Galileo Project)The fundamental limitation of all the footage provided by the Presidential Unsealing and Reporting System for UAP Encounters (PURSUE) is the lack of distance measurements to the Unidentified Anomalous Phenomena (UAPs). The projected velocity (or acceleration) of a UAP on the sky equals its angular velocity (or angular acceleration) times its unknown distance. A nearby object can cross the sky at a relatively low physical speed, whereas a very distant object would do the same only with a highly supersonic speed that cannot be achieved by birds, drones or even fighter jets. Knowing the distance is therefore crucial for resolving the nature of UAPs based on their motion. This point was recently emphasized in two reports from members of the UAP Science Advisory Council, posted here and here.A new paper here by the Galileo Project research team, reports on its first measurements of distances to objects in the sky in search for UAP based on the method of triangulation.The Galileo Project under my leadership aims to resolve the nature of UAP by constructing dedicated observatories for this task. Conventional astronomical observatories focus on a small portion of the sky at any given time and ignore objects that maneuver in the Earth’s atmosphere (and hence behave differently than meteors). The Galileo Project Observatories offer a novel architecture, in which a set of infrared cameras, visible-light cameras, radio sensors and acoustic microphones monitor the entire sky at all times. Our workhorse is the so-called `Dalek’ assembly of infrared or visible-light cameras.The infrared-Dalek is composed of an eight-camera LWIR array. Seven cameras point outwards around a circle at about 30 degrees elevation and an eighth, wider-field camera points at the zenith. (Image credit: A. Loeb et al. 2026)The infrared-Dalek has eight FLIR LWIR Boson 640 × 512 sensors covering the wavelen